The Innovation Dispatch

Telemetry

2 articles

Editorial illustration for How Automated Root Cause Analysis Works: A Four-Stage Pipeline From Telemetry to Diagnosis
Data & Automation

How Automated Root Cause Analysis Works: A Four-Stage Pipeline From Telemetry to Diagnosis

Automated Root Cause Analysis (ARCA) systems utilize a four-stage pipeline to ingest telemetry, detect anomalies, correlate them, and generate evidence-backed hypotheses for faster IT incident diagnosis. This AI-driven process significantly enhances accuracy and efficiency compared to manual methods.

Helena Strauss·October 29, 2026
Editorial illustration for Inside a Data Observability Platform: The Four Phases That Turn Telemetry Into Trust
Data & Automation

Inside a Data Observability Platform: The Four Phases That Turn Telemetry Into Trust

A modern data observability platform operates as a four-phase pipeline: collection, ingestion, storage, and query. This architecture, combined with five data health pillars—freshness, quality, volume, schema, and lineage—enables teams to monitor data pipelines and ensure reliable AI/ML workloads.

Helena Strauss·October 26, 2026